Welcome to Face Anti-spoofing (Presentation Attack Detection) Challenges

Introduction

Face anti-spoofing is essential to prevent face recognition systems from a security breach.  Although face anti-spoofing detection methods have been proposed so far, the problem is still unsolved due to the difficulty on the design of features and methods for spoof attacks.  In order to push the techniques of face anti-spoofing. We organize some face anti-spoofing challenges.

News:

Main Organizers

Jun Wan (万军), NLPR, Institute of Automation, Chinese Academy of Sciences (CASIA), China,  jun.wan@ia.ac.cn 

Sergio Escalera, Computer Vision Center (UAB) and University of Barcelona, Spain, sergio@maia.ub.es 

Hugo Jair Escalante, INAOE, ChaLearn, Mexico, hugojair@inaoep.mx  

Isabelle Guyon, Université Paris-Saclay, France and ChaLearn, Berkeley, California, USA,  guyon@chalearn.org 

Guodong Guo, IDL, Baidu Research,  China, guoguodong01@baidu.com 

Shaopeng Tang, Beijing SurfingTech Co., Ltd, shaopeng@surfingtech.cn 

Ref (* corresponding author):

all the listed papers can be found at http://www.cbsr.ia.ac.cn/users/jwan/publication.html.